Mid-level Business Analyst - Indaiatuba/sp

John Deere John Deere · Industrial · Indaiatuba, SP, Brazil · Data and Analytics (CA)

This role is for a Mid-Level Business Analyst at John Deere Financial, focusing on developing and delivering automated reports and dashboards using BI tools and SQL. The primary responsibilities include data analysis, report creation, and stakeholder support within the asset valuation, leasing, and remarketing domains. While the role involves working with data scientists and engineers, its core function is business intelligence and reporting, not direct AI/ML model development.

What you'd actually do

  1. Assist with requirements gathering, interpretation of business need and ongoing stakeholder support to identity solution recommendations to business challenges within Leasing, Remarketing Services and Asset Valuations at John Deere Financial;
  2. Build and maintain complex SQL queries in enterprise data platforms such as Databricks, becoming a subject matter expert in asst valuation, leasing, and remarketing data sets used by John Deere Financial;
  3. Create analytic dashboards, craft visualizations and deliver automated reports with a variety of tools including Tableau, Power BI, SAP Business Objects and Excel;
  4. Efficiently retrieves internal and external data and ensures that source data is accurate, meaningful and valid for use in analytics and reporting;
  5. Learn extensively from senior team members and work with Data Scientists and BI analysts in a cooperative paired programming environment;

Skills

Required

  • Bachelor’s, Master’s, or PhD Degree in Finance, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field
  • Advanced English
  • Strong analytical skills
  • High proficiency in one or more of the following: SQL, Python (PySpark), R
  • Intermediate skills in report building and graphing/visualization
  • Experience in one or more Business Intelligence reporting & visualization tools such as Tableau, PowerBI, SAP Business Objects, Python Dash, R Shiny, etc
  • Proficiency with standard code editors, development environments, and version control tools such as Databricks, VS Code, GitHub, and/or other IDE’s
  • Advanced Microsoft Office skills (Excel, PowerPoint, Word, Sharepoint)
  • Technical aptitude to quickly learn a large set of business systems and associated data sets
  • Advanced problem-solving ability

Nice to have

  • Experience connecting to and utilizing a wide variety of on-prem and cloud-based data sources and technologies (e.g. relational databases, data lake environments, etc
  • Knowledge of financial services/products and accounting concepts
  • Ability to identify and communicate insights, themes, and trends from reports and visualizations
  • Keen interest in maintaining high quality analytics products for others to consume an aptitude for diving into and resolving discrepancies in data – attention to detail is paramount for financial reporting and analytics